Face-Recognition
Technology Improves
March 14, 2003
Reprinted from The New York
Times
By BARNABY J. FEDER
Facial recognition technology has improved substantially since 2000, according
to results released yesterday of a benchmark test by four federal government
agencies involving systems from 10 companies.
The data, which is the latest in a series of biannual tests overseen by the
National Institute of Standards and Technology, is expected to encourage
government security officers to deploy facial recognition systems in
combination with fingerprinting and other biometric systems for applications
like verifying that people are who they claim to be and identifying unknown
people by comparing them with a database of images.
But the report also highlighted continuing shortcomings, like the poor
performance of recognition systems in outdoors settings in which even the best
systems made correct matches to the database of images just 50 percent of the
time. And it cited outcomes that it said needed more research, like the
tendency of the systems to identify men better than women and older subjects
better than young ones.
The report was strictly a technical evaluation and did not discuss any of the
privacy or civil rights concerns that have stirred opposition to the
technology.
Because the results of the different companies are public, the testing is also
expected to become a marketing tool for those who did best, including Identix,
Cognitec Systems and Eyematic Interfaces. It is expected to be especially helpful
to Cognitec, a tiny German company that is not widely known in the United
States, and Eyematic, a San Francisco-based company best known for capturing
data from traits like facial structures, expressions and gait to create
animated entertainment.
``Face recognition had been just a subdiscipline for us,'' said Hartmut Neven,
chief technical officer and a founder of Eyematic. He said that domestic
security needs had created a marketing opportunity that Eyematic was gearing up
to chase.
The results were not as positive for Viisage Technology, which had been among
the leaders in 2000. Viisage said that the results, that it identified just 64
percent of the test
subjects from a database of 37,437 individuals, were at odds with the strong
performance it had been having with big customers, like the State of Illinois.
While the government test is the largest for such technology, the number of
images in the database was far below the 13 million that Viisage deals with for
the Illinois Department of Motor Vehicles, where the company says it has picked
thousand of individuals seeking multiple licenses under different names.
``We suspect there must have been human or software errors in how our system
was interfaced with the test,'' said James Ebzery, senior vice president for
sales and marketing for Viisage. While Viisage scrambles to explain its views
to customers and chase down any potential problems in the test, it is taking
comfort in the tendency of big companies
and government agencies to perform their own testing on their own data before
selecting Viisage or one of its rivals.
The government's benchmarking was performed last summer but the results were
not fully tabulated and analyzed until recently. The report singled out a
finding that in ``reasonable controlled indoor lighting,'' the best facial
recognition systems can correctly verify that a person in a photograph or video
image is the same person whose picture is stored in a database 90 percent of
the time. In addition, only one subject in 100 is falsely linked to an image in
the database in the top systems.
The report also noted that performance has been enhanced by improving
technology to rotate images taken at an angle so that the facial recognition
software can be applied to a
representation of a frontal view.
The data examined whether facial recognition systems could help with the
so-called watch list challenge, which involves determining if the person
photographed is on a list of individuals who are wanted for some reason and
then identifying who they are. Cognitec, the leading performer on that test,
gained a 77 percent rating but its success rate fell to 56 percent when the
watch list grew to 3,000.